Senior Director – Applied AI Architecture, Platform Infrastructure

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $180k - $292.5k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 6%

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GuideWell Source

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

GuideWell Source is a company within the GuideWell Family that focuses on accelerating innovative health solutions to market, transforming and reshaping the health industry. It specializes in healthcare delivery, providing new models and superior outcomes for patients. The company emphasizes consumerism in healthcare, engaging clients in meaningful ways. GuideWell Source offers healthcare insurance, protecting employers and consumers with coverage plans and services. The company also provides administrative and claims processing services for state and federal Medicare and Medicaid programs, establishing itself as a trusted business partner in the healthcare sector with a focus on operational excellence.

📋 Description

• Establish GuideWell’s applied AI research function • Evaluate frontier AI developments in model capability, agentic AI, multimodal AI, and human-AI interaction • Translate AI developments into a prioritized roadmap of applied use cases across the health ecosystem • Build AI infrastructure and platform capabilities, including compute, MLOps/LLMOps, and model pipelines • Move AI solutions from prototypes into reliable, secure, production-grade enterprise operation • Stand up a developer platform and toolchain with self-service access to shared AI capabilities • Reduce duplicated infrastructure and shorten the path from idea to production • Define AI architecture and engineering standards for a regulated healthcare environment • Partner with the VP of Applied AI Engineering and Platform and senior stakeholders across architecture, infrastructure, data, security, legal/compliance, and the business • Design, staff, and establish the enterprise AI capability across research, infrastructure/platform engineering, developer platform, and architecture/strategy/standards • Recruit and lead an engineering organization while making early architecture and standards decisions • Sequence research and platform investments to support scalable AI delivery

🎯 Requirements

• Related Bachelor’s degree or additional related equivalent work experience • 7+ years’ related work experience • 5+ years’ direct supervisory/management experience • Significant experience leading AI/ML platform, infrastructure, or applied AI engineering organizations at enterprise scale • Hands-on architecture experience • Experience architecting and operating agentic AI platforms in production, including orchestration/agent frameworks, tool-access and identity controls, evaluation gates, observability, and deployment pipelines • Deep expertise in AWS, Azure, GCP, or similar cloud platforms • Experience with infrastructure-as-code, container/serverless technologies, CI/CD, and multi-region resilience • Experience establishing evaluation-first LLMOps practices, including regression testing, tracing, and human-in-the-loop oversight • Experience building and leading engineering organizations from the ground up across distributed or global delivery models • Strong executive communication and credibility with senior technical and business stakeholders • Ability to travel to multiple locations for meetings, events, and conferences • Preferred: experience in regulated or compliance-sensitive industries such as healthcare or financial services • Preferred: experience translating HIPAA or SOX requirements into engineering standards • Preferred: experience redesigning business or clinical workflows as agent-driven processes • Preferred: experience building reusable AI platform components • Preferred: experience setting technical direction on emerging agentic AI and orchestration techniques • Preferred: background spanning hands-on technical architecture and organizational leadership • Preferred: exposure to health plans, providers, clinical operations, or government health care programs

🏖️ Benefits

• Medical, dental, vision, life and global travel health insurance • Short- and long-term disability programs • Leave programs to support personal circumstances • Retirement Savings Plan including employer match • Paid time off • Volunteer time off • 10 holidays • 2 well-being days • Additional voluntary benefits • Comprehensive wellness program • Incentive or commission compensation opportunities • Annual reviews with pay-for-performance considerations for base pay increases